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Statistical Decision Theory in Perception and Cognition (Signal Detection and General Recognition Theories)

List Price: $85.00
SKU:
9780262052511
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Minimum Purchase
25 unit(s)
Expected release date is May 19th 2026
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  • Product Details

    Author:
    F. Gregory Ashby
    Format:
    Paperback
    Pages:
    454
    Publisher:
    MIT Press (May 19, 2026)
    Imprint:
    The MIT Press
    Release Date:
    May 19, 2026
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9780262052511
    ISBN-10:
    0262052512
    Weight:
    22.3oz
    Dimensions:
    7" x 9" x 1.25"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_delta_active_D20260410T231216_155912976-20260410.xml
    Folder:
    RandomHouse
    List Price:
    $85.00
    Country of Origin:
    United States
    Pub Discount:
    65
    Case Pack:
    12
    As low as:
    $65.45
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
  • Overview

    A comprehensive survey of the dominant methods for separating perceptual from decisional effects and for studying perceptual interactions.

    Human performance in any perceptual or cognitive task can change for a variety of reasons. Signal detection theory (SDT) and its multidimensional generalization, general recognition theory (GRT), are by far the dominant methods for determining whether a change in performance is due to a change in perception or a change in how perceptual or cognitive information is used to select a response. In addition, GRT is the dominant method for studying perceptual interactions.

    In this book, author F. Gregory Ashby covers how SDT and GRT are used in thousands of published articles that span an enormous range of fields, including vision and all other areas of perception, memory, decision-making, eyewitness testimony, response time modeling, face perception, visual search, categorization, perceived similarity, preference, stereotyping, implicit learning, fMRI data analysis, and food science. The book includes examples that illustrate how the various methods are applied, as well as Matlab code to perform several key computations.